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QICID: 24461
Title: Sample Size Determination for a Relative Quality Improvement
Copyright: ASQ; Taylor & Francis
Author: McGrath, Richard N.; Chen, Qixuan
Organization: Department of Applied Statistics and Operations Research, Bowling Green State University
Subject: Binomial distribution, Hypergeometric distribution, Optimization, Quality improvement (QI), Quality teams, Goals, Sample size;
Series: Quality Engineering, Vol. 20, No. 3, July 2008, pp. 309-320
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Abstract: [This abstract is based on the authors' abstract.]
When addressing quality problems, quality teams are often given a quantifiable goal, requiring data to be assessed in order to determine if the goal has been met. A method is proposed for determining the sample sizes necessary for detecting relative quality improvements in finite and infinite populations. Formulas for calculations are given and methods are provided for finding the exact error rates for given sample sizes. A real-life example is modified to illustrate cases with finite and infinite populations.
Number of pages: 12
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